15-213 “The course that gives CMU its Zip!” The Memory Hierarchy Oct 4, 2001 Topics • Storage technologies and trends • Locality of reference • Caching in the memory hierarchy class12.ppt Random-Access Memory (RAM) Key features • RAM is packaged as a chip. • Basic storage unit is a cell (one bit per cell). • Multiple RAM chips form a memory. Static RAM (SRAM) • Each cell stores bit with a six-transistor circuit. • Retains value indefinitely, as long as it is kept powered. • Relatively insensitive to disturbances such as electrical noise. • Faster and more expensive than DRAM. Dynamic RAM (DRAM) • Each cell stores bit with a capacitor and transistor. • Value must be refreshed every 10-100 ms. • Sensitive to disturbances. • Slower and cheaper than SRAM. class12.ppt –2– CS 213 F’01 SRAM vs DRAM summary SRAM DRAM Tran. per bit Access time Persist? Sensitive? Cost Applications 6 1 1X 10X 100x 1X cache memories Main memories, frame buffers class12.ppt Yes No No Yes –3– CS 213 F’01 Conventional DRAM organization d x w DRAM: • dw total bits organized as d supercells of size w bits 16 x 8 DRAM chip cols 0 2 bits / 1 2 3 0 addr 1 rows memory controller 2 supercell (2,1) (to CPU) 8 bits / 3 data internal row buffer class12.ppt –4– CS 213 F’01 Reading DRAM supercell (2,1) Step 1(a): Row access strobe (RAS) selects row 2. Step 1(b): Row 2 copied from DRAM array to row buffer. 16 x 8 DRAM chip cols 0 RAS = 2 2 / 1 2 3 0 addr 1 rows memory controller 2 8 / 3 data row 2 internal row buffer class12.ppt –5– CS 213 F’01 Reading DRAM supercell (2,1) Step 2(a): Column access strobe (CAS) selects column 1. Step 2(b): Supercell (2,1) copied from buffer to data lines, and eventually back to the CPU. 16 x 8 DRAM chip cols 0 CAS = 1 2 / 1 2 3 0 addr 1 memory controller rows supercell (2,1) 8 / 2 3 data internal row buffer class12.ppt –6– CS 213 F’01 Memory modules addr (row = i, col = j) : supercell (i,j) DRAM 0 64 MB memory module consisting of eight 8Mx8 DRAMs DRAM 7 data bits bits bits bits bits bits bits 56-63 48-55 40-47 32-39 24-31 16-23 8-15 63 56 55 48 47 40 39 32 31 24 23 16 15 8 7 bits 0-7 0 64-bit doubleword at main memory address A Memory controller 64-bit doubleword to CPU chip class12.ppt –7– CS 213 F’01 Enhanced DRAMs All enhanced DRAMs are built around the conventional DRAM core. • Fast page mode DRAM (FPM DRAM) – Access contents of row with [RAS, CAS, CAS, CAS, CAS] instead of [(RAS,CAS), (RAS,CAS), (RAS,CAS), (RAS,CAS)]. • Extended data out DRAM (EDO DRAM) – Enhanced FPM DRAM with more closely spaced CAS signals. • Synchronous DRAM (SDRAM) – Driven with rising clock edge instead of asynchronous control signals. • Double data-rate synchronous DRAM (DDR SDRAM) – Enhancement of SDRAM that uses both clock edges as control signals. • Video RAM (VRAM) – Like FPM DRAM, but output is produced by shifting row buffer – Dual ported (allows concurrent reads and writes) class12.ppt –8– CS 213 F’01 Nonvolatile memories DRAM and SRAM are volatile memories • Lose information if powered off. Nonvolatile memories retain value even if powered off. • Generic name is read-only memory (ROM). • Misleading because some ROMs can be read and modified. Types of ROMs • Programmable ROM (PROM) • Eraseable programmable ROM (EPROM) • Electrically eraseable PROM (EEPROM) • Flash memory Firmware • Program stored in a ROM – Boot time code, BIOS (basic input/ouput system) – graphics cards, disk controllers. class12.ppt –9– CS 213 F’01 Bus structure connecting CPU and memory A bus is a collection of parallel wires that carry address, data, and control signals. Buses are typically shared by multiple devices. CPU chip register file ALU system bus main memory I/O bridge bus interface class12.ppt memory bus – 10 – CS 213 F’01 Memory read transaction (1) CPU places address A on the memory bus. register file %eax Load operation: movl A, %eax ALU I/O bridge bus interface class12.ppt A main memory 0 x – 11 – CS 213 F’01 A Memory read transaction (2) Main memory reads A from the memory bus, retreives word x, and places it on the bus. register file %eax Load operation: movl A, %eax ALU I/O bridge bus interface class12.ppt x main memory 0 x – 12 – A CS 213 F’01 Memory read transaction (3) CPU read word x from the bus and copies it into register %eax. register file %eax x Load operation: movl A, %eax ALU I/O bridge bus interface class12.ppt main memory 0 x – 13 – CS 213 F’01 A Memory write transaction (1) CPU places address A on bus. Main memory reads it and waits for the corresponding data word to arrive. register file %eax y Store operation: movl %eax, A ALU I/O bridge bus interface class12.ppt A main memory 0 A – 14 – CS 213 F’01 Memory write transaction (2) CPU places data word y on the bus. register file %eax y Store operation: movl %eax, A ALU I/O bridge y main memory 0 bus interface class12.ppt A – 15 – CS 213 F’01 Memory write transaction (3) Main memory read data word y from the bus and stores it at address A. register file %eax y Store operation: movl %eax, A ALU I/O bridge bus interface class12.ppt main memory 0 y – 16 – CS 213 F’01 A Disk geometry Disks consist of platters, each with two surfaces. Each surface consists of concentric rings called tracks. Each track consists of sectors separated by gaps. tracks surface track k gaps spindle sectors class12.ppt – 17 – CS 213 F’01 Disk geometry (muliple-platter view) Aligned tracks form a cylinder. cylinder k surface 0 platter 0 surface 1 surface 2 platter 1 surface 3 surface 4 platter 2 surface 5 spindle class12.ppt – 18 – CS 213 F’01 Disk capacity Capacity: maximum number of bits that can be stored. • Vendors express capacity in units of gigabytes (GB), where 1 GB = 10^6. Capacity is determined by these technology factors: • Recording density (bits/in): number of bits that can be squeezed into a 1 inch segment of a track. • Track density (tracks/in): number of tracks that can be squeezed into a 1 inch radial segment. • Areal density (bits/in2): product of recording and track density. Modern disks partition tracks into disjoint subsets called recording zones • Each track in a zone has the same number of sectors, determined by the circumference of innermost track. • Each zone has a different number of sectors/track class12.ppt – 19 – CS 213 F’01 Computing disk capacity Capacity = (# bytes/sector) x (avg. # sectors/track) x (# tracks/surface) x (# surfaces/platter) x (# platters/disk) Example: • 512 bytes/sector • 300 sectors/track (on average) • 20,000 tracks/surface • 2 surfaces/platter • 5 platters/disk Capacity = 512 x 300 x 20000 x 2 x 5 = 30,720,000,000 = 30.72 GB class12.ppt – 20 – CS 213 F’01 Disk operation (single-platter view) The disk surface spins at a fixed rotational rate The read/write head is attached to the end of the arm and flies over the disk surface on a thin cushion of air. spindle By moving radially, the arm can position the read/write head over any track. class12.ppt – 21 – CS 213 F’01 Disk operation (multi-platter view) read/write heads move in unison from cylinder to cylinder arm spindle class12.ppt – 22 – CS 213 F’01 Disk access time Average time to access some target sector approximated by : • Taccess = Tavg seek + Tavg rotation + Tavg transfer Seek time • Time to position heads over cylinder containing target sector. • Typical Tavg seek = 9 ms Rotational latency • Time waiting for first bit of target sector to pass under r/w head. • Tavg rotation = 1/2 x 1/RPMs x 60 sec/1 min Transfer time • Time to read the bits in the target sector. • Tavg transfer = 1/RPM x 1/(avg # sectors/track) x 60 secs/1 min. class12.ppt – 23 – CS 213 F’01 Disk access time example Given: • Rotational rate = 7,200 RPM • Average seek time = 9 ms. • Avg # sectors/track = 400. Derived: • Tavg rotation = 1/2 x (60 secs/7200 RPM) x 1000 ms/sec = 4 ms. • Tavg transfer = 60/7200 RPM x 1/400 secs/track x 1000 ms/sec = 0.02 ms • Taccess = 9 ms + 4 ms + 0.02 ms Important points: • Access time dominated by seek time and rotational latency. • First bit in a sector is the most expensive, the rest are free. • SRAM access time is about 4ns/doubleword, DRAM about 60 ns – Disk is about 40,000 times slower than SRAM, – 2,500 times slower then DRAM. class12.ppt – 24 – CS 213 F’01 Logical disk blocks Modern disks present a simpler abstract view of the complex sector geometry: • The set of available sectors is modeled as a sequence of b-sized logical blocks (0, 1, 2, ...) Mapping between logical blocks and actual (physical) sectors • Maintained by hardware/firmware device called disk controller. • Converts requests for logical blocks into (surface,track,sector) triples. Allows controller to set aside spare cylinders for each zone. • Accounts for the difference in “formatted capacity” and “maximum capacity”. class12.ppt – 25 – CS 213 F’01 Bus structure connecting I/O and CPU CPU chip register file ALU system bus memory bus main memory I/O bridge bus interface I/O bus USB controller mouse keyboard graphics adapter disk controller Expansion slots for other devices such as network adapters. monitor disk class12.ppt – 26 – CS 213 F’01 Reading a disk sector (1) CPU chip register file ALU CPU initiates a disk read by writing a command, logical block number, and destination memory address to a port (address) associated with disk controller. main memory bus interface I/O bus USB controller mouse keyboard graphics adapter disk controller monitor disk class12.ppt – 27 – CS 213 F’01 Reading a disk sector (2) CPU chip register file ALU Disk controller reads the sector and performs a direct memory access (DMA) transfer into main memory. main memory bus interface I/O bus USB controller mouse keyboard graphics adapter disk controller monitor disk class12.ppt – 28 – CS 213 F’01 Reading a disk sector (3) CPU chip register file ALU When the DMA transfer completes, the disk controller notifies the CPU with an interrupt (i.e., asserts a special “interrupt” pin on the CPU) main memory bus interface I/O bus USB controller mouse keyboard graphics adapter disk controller monitor disk class12.ppt – 29 – CS 213 F’01 Storage trends SRAM DRAM Disk metric 1980 1985 1990 1995 2000 2000:1980 $/MB access (ns) 19,200 300 2,900 150 320 35 256 15 100 2 190 100 metric 1980 1985 1990 1995 2000 2000:1980 $/MB 8,000 access (ns) 375 typical size(MB) 0.064 880 200 0.256 100 100 4 30 70 16 1 60 64 8,000 6 1,000 metric 1985 1990 1995 2000 2000:1980 100 75 10 8 28 160 0.30 10 1,000 0.05 8 9,000 10,000 11 9,000 1980 $/MB 500 access (ms) 87 typical size(MB) 1 class12.ppt (Culled from back issues of Byte and PC Magazine) – 30 – CS 213 F’01 CPU clock rates processor clock rate(MHz) cycle time(ns) class12.ppt 1980 8080 1 1,000 1985 286 6 166 1990 386 20 50 – 31 – 1995 Pent 150 6 2000 P-III 750 1.6 2000:1980 750 750 CS 213 F’01 The CPU-Memory Gap The increasing gap between DRAM, disk, and CPU speeds. 100,000,000 10,000,000 1,000,000 Disk seek time ns 100,000 DRAM access time 10,000 SRAM access time 1,000 CPU cycle time 100 10 1 1980 1985 1990 1995 2000 year class12.ppt – 32 – CS 213 F’01 Locality of Reference Principle of Locality: • Programs tend to reuse data and instructions near those they have used recently, or that were recently referenced themselves. • Temporal locality: Recently referenced items are likely to be referenced in the near future. • Spatial locality: Items with nearby addresses tend to be referenced close together in time. Locality Example: sum = 0; for (i = 0; i < n; i++) sum += a[i]; return sum; • Data – Reference array elements in succession (spatial) • Instructions – Reference instructions in sequence (spatial) – Cycle through loop repeatedly (temporal) class12.ppt – 33 – CS 213 F’01 Locality example Claim: Being able to look at code and get a qualitative sense of its locality is a key skill for a professional programmer. Does this function have good locality? int sumarrayrows(int a[M][N]) { int i, j, sum = 0; for (i = 0; i < M; i++) for (j = 0; j < N; j++) sum += a[i][j]; return sum } class12.ppt – 34 – CS 213 F’01 Locality example Does this function have good locality? int sumarraycols(int a[M][N]) { int i, j, sum = 0; for (j = 0; j < N; j++) for (i = 0; i < M; i++) sum += a[i][j]; return sum } class12.ppt – 35 – CS 213 F’01 Locality example Permute the loops so that the function scans the 3-d array a with a stride-1 reference pattern (and thus has good locality) int sumarray3d(int a[M][N][N]) { int i, j, k, sum = 0; for (i = 0; i < M; i++) for (j = 0; j < N; j++) for (k = 0; k < N; k++) sum += a[k][i][j]; return sum } class12.ppt – 36 – CS 213 F’01 Memory hierarchies Some fundamental and enduring properties of hardware and software: • Fast storage technologies cost more per byte and have less capacity. • The gap between CPU and main memory speed is widening. • Well-written programs tend to exhibit good locality. These fundamental properties complement each other beautifully. Suggest an approach for organizing memory and storage systems known as a “memory hierarchy”. class12.ppt – 37 – CS 213 F’01 An example memory hierarchy L0: registers Smaller, faster, and costlier (per byte) storage devices L1: on-chip L1 cache (SRAM) L2: L3: Larger, slower, and cheaper (per byte) storage devices CPU registers hold words retrieved from cache memory. L4: L5: class12.ppt off-chip L2 cache (SRAM) L1 cache holds cache lines retrieved from the L2 cache. L2 cache holds cache lines retrieved from memory. main memory (DRAM) Main memory holds disk blocks retrieved from local disks. local secondary storage (local disks) Local disks hold files retrieved from disks on remote network servers. remote secondary storage (distributed file systems, Web servers) – 38 – CS 213 F’01 Caches Cache: A smaller, faster storage device that acts as a staging area for a subset of the data in a larger, slower device. Fundamental idea of a memory hierarchy: • For each k, the faster, smaller device at level k serves as a cache for the larger, slower device at level k+1. Why do memory hierarchies work? • Programs tend to access the data at level k more often than they access the data at level k+1. • Thus, the storage at level k+1 can be slower, and thus larger and cheaper per bit. • Net effect: A large pool of memory that costs as much as the cheap storage near the bottom, but that serves data to programs at the rate of the fast storage near the top. class12.ppt – 39 – CS 213 F’01 Caching in a memory hierarchy Level k: 4 9 14 Smaller, faster, more expensive device at level k caches a subset of the blocks from level k+1 3 Data is copied between levels in block-sized transfer units Level k+1: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 class12.ppt – 40 – Larger, slower, cheaper storage device at level k+1 is partitioned into blocks. CS 213 F’01 General caching concepts Level k: 4 9 14 3 Program needs object d, which is stored in some block b. Cache hit • Program finds b in the cache at level k. E.g. block 14. Level k+1: Cache miss 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 class12.ppt • b is not at level k, so level k cache must fetch it from level k+1. E.g. block 12. • If level k cache is full, then some current block must be replaced (evicted). • Which one? Determined by replacement policy. E.g. evict least recently used block. – 41 – CS 213 F’01 General caching concepts Types of cache misses: • Cold (compulsary) miss – Cold misses occur because the cache is empty. • Conflict miss – Most caches limit blocks at level k+1 to a small subset (sometimes a singleton) of the block positions at level k. – E.g. Block i at level k+1 must be placed in block (i mod 4) at level k+1. – Conflict misses occur when the level k cache is large enough, but multiple data objects all map to the same level k block. – E.g. Referencing blocks 0, 8, 0, 8, 0, 8, ... would miss every time. • Capacity miss – Occurs when the set of active cache blocks (working set) is larger than the cache. class12.ppt – 42 – CS 213 F’01 Examples of caching in the hierarchy Cache Type What Cached Where Cached Registers 4-byte word CPU registers 0 Compiler TLB Address translations 32-byte block 32-byte block 4-KB page On-Chip TLB 0 Hardware On-Chip L1 Off-Chip L2 Main memory Parts of files Main memory 1 Hardware 10 Hardware 100 Hardware+ OS 100 OS L1 cache L2 cache Virtual Memory Buffer cache Network buffer Parts of files cache Browser cache Web pages Local disk Web cache Remote server disks Web pages class12.ppt Local disk – 43 – Latency (cycles) Managed By 10,000,000 AFS/NFS client 10,000,000 Web browser 1,000,000,000 Web proxy server CS 213 F’01